FLock.io has opened train.flock.io, the web app of its AI training platform. By integrating private data and on-chain rewards, FLock ensures equitable incentives and fosters open collaboration. It addresses the need for bespoke AI models from Web3 and Web2 projects while protecting data privacy by training models without exposing source data.
To participate in a task, every user initially stakes $FML, FLock.io’s beta token, to signify their commitment. Developers can choose between running fully automated training/ validation scripts or create their own bespoke process for better performance. Firstly, training nodes handle AI task training. They are required to stake tokens for system engagement and task eligibility. FLock.io has provided a training script as a quickstart.
Task creation will soon open up as a fourth way to participate. This is currently handled by the FLock.io team, and involves defining desired models.